TERMINOLOGY DATABASE AND MACHINE TRANSLATION

Machine Translation and Terminology Management

In the past few years, developers in companies such as SDL and Microsoft have focused on how to improve the quality of fully automated machine translation (FAMT) by leveraging tools for machine assisted human translation (MAHT). They have also focused on how to improve the quality of MAHT by leveraging FAMT capabilities and on how to leverage interactive MT by leveraging terminologies and dicti...

Statistical Machine Translation with Terminology

This paper considers a scenario which is slightly different from Statistical Machine Translation (SMT) in that we are given almost perfect knowledge about bilingual terminology, considering the situation when a Japanese patent is applied to or granted by the Japanese Patent Office (JPO). Technically, we incorporate bilingual terminology into Phrase-based SMT (PB-SMT) focusing on the statistical...

Parallel Corpora, Terminology Extraction und Machine Translation

In this paper we first give an overview of parallel corpus annotation, alignment and retrieval. We present standard annotation methods such as Part-of-Speech tagging, lemmatization and dependency parsing, but we also introduce language-specific methods, e.g. for dealing with split verbs or truncated compounds in German. We argue for careful sentence and word alignment for parallel corpora. And ...

An Intelligent Terminology Database As A Pre-Processor For Statistical Machine Translation

Application of Online Terminology Services in Statistical Machine Translation

In this system demonstration paper we present a cloud-based platform providing online terminology services for human and machine users. We focus on the use case for the application of online terminology services in statistical machine translation and describe the applied methods for monolingual and bilingual terminology integration into statistical machine translation during training and transl...